Master of Artificial Intelligence and Machine Learning

Detailed Program Information

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Program Code

MAIML

Academic Year

2023

Program Faculty

Faculty of Sciences, Engineering and Technology

Special Notes

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These Program Rules should be read in conjunction with the University's policies (http://www.adelaide.edu.au/policies).

Overview

The Master of Artificial Intelligence and Machine Learning will provide graduates with a foundation in Artificial Intelligence and Machine Learning and allow for the identification and application of emerging developments and considerations. Both Artificial Intelligence and Machine Learning are rapidly evolving spaces with implications for the future of work and our daily lives.

In this program, students undertake a variety of core and elective courses, designed to provide knowledge of the techniques and theory of artificial intelligence and machine learning, and their basis in computer science and mathematics. A significant capstone project combines skills developed across the program. Students will elect to undertake either a research project or an industry-based project.

The Master of Artificial Intelligence and Machine Learning is an AQF Level 9 qualification with a standard full-time duration of 2 years.

Conditions

Interruption of program: Students must apply for permission from the Faculty before taking a Leave of Absence. Any extension of the leave without approval will result in the loss of place in the program but an application may be made to be re-admitted to the program subject to the admission procedures in place at the time.

Academic Program Rules for Master of Artificial Intelligence and Machine Learning

There shall be a Master of Artificial Intelligence and Machine Learning .

Qualification Requirements

Academic Program:

To qualify for the degree of Master of Artificial Intelligence and Machine Learning, the student must complete satisfactorily a program of study consisting of the following requirements with a combined total of not less than 48 units, comprising:

Core courses to the value of 12 units
A research or industry based project to the value of 12 units
Elective courses to the value of 24 units
Unless exempted international students are required to take ENG 7057 Communication & Critical Thinking in lieu of an elective.

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Core Courses

To satisfy the requirements for Core Courses students must complete courses to the value of 12 units.

All of the following courses must be completed:

Subject / Catalogue	Course Title	Unit Value
COMP SCI 7210	Foundations of Computer Science A	3
COMP SCI 7211	Foundations of Computer Science B	3
COMP SCI 7327	Concepts in Artificial Intelligence and Machine Learning	3
MATHS 7027	Mathematical Foundations of Data Science	3

Research or Industry Project

To satisfy the requirements for Research or Industry Project students must complete courses to the value of 12 units.

All of the following courses must be completed:

Research

Subject / Catalogue	Course Title	Unit Value
COMP SCI 7205A	Artificial Intelligence and Machine Learning Research Project Part A	0
COMP SCI 7205B	Artificial Intelligence and Machine Learning Research Project Part B	12

or

All of the following courses must be completed:

Industry

Subject / Catalogue	Course Title	Unit Value
COMP SCI 7206A	Artificial Intelligence and Machine Learning Industry Project Part A	0
COMP SCI 7206B	Artificial Intelligence and Machine Learning Industry Project Part B	12

Subject / Catalogue	Course Title	Unit Value
COMP SCI 7059	Artificial Intelligence	3
COMP SCI 7212	Human and Ethical Factors in Computer Science	3
COMP SCI 7314	Introduction to Statistical Machine Learning	3
COMP SCI 7315	Computer Vision	3
COMP SCI 7317	Using Machine Learning Tools PG	3
COMP SCI 7318	Deep Learning Fundamentals	3
COMP SCI 7416	Applied Machine Learning	3
COMP SCI 7417	Applied Natural Language Processing	3
ENG 7111	Internship	6
PHIL 7005	Machine Learning and Artificial Intelligence	3

Subject / Catalogue	Course Title	Unit Value
COMP SCI 7007	Specialised Programming	3
COMP SCI 7039	Computer Networks & Applications	3
COMP SCI 7064	Operating Systems	3
COMP SCI 7076	Distributed Systems	3
COMP SCI 7088	Systems Programming	3
COMP SCI 7209	Big Data Analysis and Project	3
COMP SCI 7305	Parallel and Distributed Computing	3
COMP SCI 7306	Mining Big Data	3
COMP SCI 7307	Secure Programming	3
COMP SCI 7308	Cybersecurity Fundamentals	3
COMP SCI 7407	Advanced Algorithms	3
MATHS 7103	Probability & Statistics PG	3
STATS 7107	Statistical Modelling and Inference	3

Published on: 30 November, 2022 | 10:03:33